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Not as convenient, but you could also have the user manually install the model, like whisper does. Just forward the error message output by whisper, or even ma
by Leftium 2y ago
Not as convenient, but you could also have the user manually install the model, like whisper does.
Just forward the error message output by whisper, or even make a more user-friendly error message with instructions on how/where to download the models.
Whisper does provide a simple bash script to download models: https://github.com/ggerganov/whisper.cpp/blob/master/models/download-ggml-model.sh https://github.com/ggerganov/whisper.cpp/blob/master/models/...
(As a Windows user, I can run bash scripts via Git Bash for Windows[1])
[1]: https://git-scm.com/download/win https://git-scm.com/download/win
- llimllib 2y agothanks for all the help, I appreciate it.
- Leftium 2y agoWell, thanks to you I found out whisper generates decent audio transcriptions using a local LLM (relatively) easily, even on my 6+ year-old laptop. (I used to upload videos to YouTube just to get the auto captions.) I did some investigation, and it would not be difficult to convert the whisper LRC subtitle output into the format my fork of oTranscribe expects. I already made a simple tool to convert YouTube TTML/SBV subtitle output: https://github.com/Leftium/otrgen https://github.com/Leftium/otrgen
- llimllib 2y agothat's great! whisper is awesome software. I'm working on a golang version that links to whisper.cpp directly to maybe make porting easier/possible